In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the paper I (...) briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

Computational functionalism posits that consciousness is a computation. Here we show, perhaps surprisingly, that it cannot be a Turing computation. Rather, computational functionalism implies that consciousness is a novel type of computation that has recently been proposed by Geoffrey Hinton, called mortal computation.

Recent advancements in artificial intelligence have fueled widespread academic discourse on the ethics of AI within and across a diverse set of disciplines. One notable subfield of AI ethics is machine ethics, which seeks to implement ethical considerations into AI systems. However, since different research efforts within machine ethics have discipline-specific concepts, practices, and goals, the resulting body of work is pestered with conflict and confusion as opposed to fruitful synergies. The aim of this paper is to explore ways to (...) alleviate these issues, both on a practical and theoretical level of analysis. First, we describe two approaches to machine ethics: the philosophical approach and the engineering approach and show how tensions between the two arise due to discipline specific practices and aims. Using the concept of disciplinary capture, we then discuss potential promises and pitfalls to cross-disciplinary collaboration. Drawing on recent work in philosophy of science, we finally describe how metacognitive scaffolds can be used to avoid epistemological obstacles and foster innovative collaboration in AI ethics in general and machine ethics in particular. (shrink)

The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting _Hybrid Minds_ focuses on the integration of artificial intelligence into the human brain through intelligent brain-computer interfaces as they enter clinical use. In this contribution we discuss a complementary development: the integration of a functional in vitro network of human neurons into an _in silico_ computing environment. To do so, we draw on a recent experiment reporting the creation of silico-biological intelligence as (...) a case study (Kagan et al., 2022b ). In this experiment, multielectrode arrays were plated with stem cell-derived human neurons, creating a system which the authors call _DishBrain_. By embedding the system into a virtual game-world, neural clusters were able to receive electrical input signals from the game-world and to respond appropriately with output signals from pre-assigned motor regions. Using this design, the authors demonstrate how the _DishBrain_ self-organises and successfully learns to play the computer game ‘Pong’, exhibiting ‘sentient’ and intelligent behaviour in its virtual environment. The creation of such hybrid, silico-biological intelligence raises numerous ethical challenges. Following the neuroscientific framework embraced by the authors themselves, we discuss the arising ethical challenges in the context of Karl Friston’s Free Energy Principle, focusing on the risk of creating synthetic phenomenology. Following the _DishBrain’s_ creator’s neuroscientific assumptions, we highlight how DishBrain’s design may risk bringing about artificial suffering and argue for a congruently cautious approach to such synthetic biological intelligence. (shrink)

En el presente artículo hacemos una revisión del método neurofenomenólogico de Thomas Metzinger y su capacidad para responder a problemas habituales de filosofía de la mente y evitar dificultades de otros materialismos. Metzinger define estados mentales en función de estados cerebrales, sin embargo, frente al materialismo eliminativo, sí considera como real la experiencia fenoménica y rechaza su reducción conceptual o epistémica. Esta peculiaridad salva su propuesta de críticas como la de José Ignacio Murillo o Graham Harman, que parecen dirigidas a (...) otros tipos de materialismos. Por ello, consideramos necesario repensar las consecuencias éticas de la tajante negación del libre albedrío y la afirmación de la posibilidad de máquinas artificiales conscientes que conlleva la propuesta de Metzinger. (shrink)

In questo lavoro distinguo tra due versioni della tesi del carattere incarnato della mente: “debole” e “forte”. Secondo la versione debole, il possesso di stati mentali presuppone l’esistenza di un corpo che si muove ed agisce nell’ambiente, ossia un corpo funzionale. Secondo la versione forte, invece, il possesso di stati mentali presuppone l’esistenza di un corpo non solo funzionale ma anche senziente, ossia: il corpo come sede della sensibilità o coscienza fenomenica. Sostengo che alcuni approcci all’interno della “scienza cognitiva incarnata” (...) implicano la forma debole di embodiment : la robotica di Brooks, l’enattivismo sensomotorio di Noë e O’Regan e l’enattivismo radicale di Hutto e Myin. In contrapposizione a queste prospettive, e basandomi sull’analisi fenomenologica della corporeità vivente e vissuta, difendo la forma forte di embodiment, secondo cui la mente si fonda essenzialmente sul corpo funzionale e senziente. Parole chiave: Fenomenologia; Embodiment; Coscienza fenomenica; Enattivismo; Qualità sensibili -/- Abstract (english) -/- Functional body and sentient body. The strong view on the embodied mind in phenomenology: In this paper, I draw a distinction between weak and strong versions of the “embodiment thesis”. The weak version claims that mental states are grounded in a body that moves and acts in the environment, i.e., a functional body. The strong version claims that mental states are grounded in a body that is not only functional but also sentient, i.e., a body that is the locus of sensibility or phenomenal consciousness. I argue that some approaches within the “new embodied cognitive science” – Brooks’ robotics, Noë’s and O’Regan’s sensorimotor enactivism, Hutto’s and Myin’s radical enactivism – imply a weak version of the embodiment thesis. In contrast, by drawing on a phenomenological analysis of living and lived corporeality, I argue for the strong version, which claims that the mind is essentially grounded in the functional and sentient body. Keywords: Phenomenology; Embodiment; Phenomenal Consciousness; Enactivism; Sensible Qualities. (shrink)

If a machine attains consciousness, how could we find out? In this paper, I make three related claims regarding positive tests of machine consciousness. All three claims center on the idea that an AI can be constructed “ad hoc”, that is, with the purpose of satisfying a particular test of consciousness while clearly not being conscious. First, a proposed test of machine consciousness can be legitimate, even if AI can be constructed ad hoc specifically to pass this test. This is (...) underscored by the observation that many, if not all, putative tests of machine consciousness can be passed by non-conscious machines via ad hoc means. Second, we can identify ad hoc AI by taking inspiration from the notion of an ad hoc hypothesis in philosophy of science. Third, given the first and the second claim, the most reliable tests of animal consciousness turn out to be valid and useful positive tests of machine consciousness as well. If a non-ad hoc AI exhibits clusters of cognitive capacities facilitated by consciousness in humans which can be selectively switched off by masking and if it reproduces human behavior in suitably designed double dissociation tasks, we should treat the AI as conscious. (shrink)

1. 1.1. Suffering is bad. This is why, ceteris paribus, there are strong moral reasons to prevent suffering. Moreover, typically, those moral reasons are stronger when the amount of suffering at st...